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Julian A. Edwards

Researcher at Open University

Publications -  9
Citations -  800

Julian A. Edwards is an academic researcher from Open University. The author has contributed to research in topics: Confirmatory factor analysis & Work related. The author has an hindex of 8, co-authored 9 publications receiving 676 citations. Previous affiliations of Julian A. Edwards include University of Portsmouth.

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The Work-Related Quality of Life scale for healthcare workers.

TL;DR: The Work-Related Quality of Life measure is one of the most succinct yet psychometrically valid and reliable Quality of Working Life scales in the literature and it is proposed that it can appropriately be used in healthcare organizations to assess quality of working life.
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Psychometric analysis of the UK Health and Safety Executive's Management Standards work-related stress Indicator Tool

TL;DR: In this paper, the authors examine the factor structure of the Health and Safety Executive (HSE) Management Standards (MS) Indicator Tool using organizational-level data and find that it may be possible to derive a single measure of work-related stress.
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Testing a Multidimensional Theory of Person-Environment Fit

TL;DR: In this paper, the authors examined the validity of a multidimensional Person Environment (PE) fit model proposed by Jansen and Kristof-Brown (2006) and found that the model without the multiddimensional construct strongly predicted the outcomes of commitment, job satisfaction, and intention to leave.
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The Work‐related Quality of Life Scale for Higher Education Employees

Abstract: Previous research suggests that higher education employees experience comparatively high levels of job stress. A range of instruments, both generic and job‐specific, has been used to measure stressors and strains in this occupational context. The Work‐related Quality of Life (WRQoL) scale is a measure designed to capture perceptions of the working environment and employees’ responses to them. This study explores the factor structure of the WRQoL scale for higher education employees. Survey data were collected from workers in four higher education institutions in the UK (n = 2136). Confirmatory factor analysis methods were used to investigate the explanatory power of the scale using a six‐factor model (job and career satisfaction, general well‐being, home–work interface, stress at work, control at work and working conditions). A first‐order confirmatory factor analysis model fitted the data well, whilst a second‐order model produced an acceptable fit. Levels of WRQoL for each factor are consistent...
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A longitudinal study exploring the relationships between occupational stressors, non-work stressors, and work performance

TL;DR: This article examined the causal relationship between work, non-work stressors, and work performance using longitudinal multi-group data from three groups (university staff, trainee nurses, and part-time employees).